David Widmann

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 8

Top Topics

Benchmark Datasets

Riemannian Manifolds

Multi Class Svm

Kernel Learning

Top Venues

Publications

Pierre Glaser, David Widmann, Fredrik Lindsten, Arthur Gretton
Fast and scalable score-based kernel calibration tests. UAI (2023)
David Widmann, Chris Rackauckas
DelayDiffEq: Generating Delay Differential Equation Solvers via Recursive Embedding of Ordinary Differential Equation Solvers. CoRR (2022)
David Widmann, Fredrik Lindsten, Dave Zachariah
Calibration tests beyond classification. CoRR (2022)
David Widmann, Fredrik Lindsten, Dave Zachariah
Calibration tests beyond classification. ICLR (2021)
David Widmann, Fredrik Lindsten, Dave Zachariah
Calibration tests in multi-class classification: A unifying framework. CoRR (2019)
David Widmann, Fredrik Lindsten, Dave Zachariah
Calibration tests in multi-class classification: A unifying framework. NeurIPS (2019)
Juozas Vaicenavicius, David Widmann, Carl R. Andersson, Fredrik Lindsten, Jacob Roll, Thomas B. Schön
Evaluating model calibration in classification. CoRR (2019)
Juozas Vaicenavicius, David Widmann, Carl R. Andersson, Fredrik Lindsten, Jacob Roll, Thomas B. Schön
Evaluating model calibration in classification. AISTATS (2019)